I am trying to store regression objects in a data.table
df <- data.frame(x = rnorm(20)) df[, "y"] <- with(df, x + 0.1 * x^2 + 0.2 * rnorm(20)) mydt <- data.table(mypower = c(1, 2), myreg = list(lm(y ~ x, data = df), lm(y ~ x + I(x^2), data = df))) mydt # mypower myreg # <num> <list> #1: 1 <lm[12]> #2: 2 <lm[12]> But mydt[1, 2] has only the coeffients of the first regression. mydt[2, 2] has residuals of the first regression. These are the first two components of "lm" object. mydt[1, myreg[[1]]] #(Intercept) x # 0.107245 1.034110 Is there a way to put full "lm" object in each row? Thanks, Naresh ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide https://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
